DSLR-style portrait blur, from any phone ફોટો

Portrait-style બેકગ્રાઉન્ડ blur, in plain English

DSLR portrait lenses produce the characteristic sharp-subject smooth-backdrop look because of optical depth of field — wide-aperture lenses (f/1.4 to f/2.8) physically can only focus on a thin slice of the scene at the focal distance, with everything in front of and behind that slice falling into progressive blur. Phone cameras have small sensors and small aperture stops that physically can't reproduce this effect optically — which is why phones do it computationally instead. iPhone Portrait Mode and Google પિક્સેલ Portrait use a depth-aware two-pass technique: first they generate a depth map (via dual cameras, lidar, or single-camera ML inference), then they apply a synthetic blur to પિક્સેલ at greater computed depth than the focus subject. The output is visually similar to optical DSLR blur for typical portraits, distinguishably worse for complex scenes (translucent objects, fine hair, cluttered backgrounds), but good enough that 'phone portrait mode' has become the default expectation for headshots and personal ફોટા in 2026.

This એડિટર implements the same computational portrait-blur technique post-hoc, on any ફોટો, regardless of whether the original was shot in portrait mode or whether the source phone supports portrait mode at all. The cutout pipeline runs in-browser ONNX/WASM segmentation to identify the subject (the high-ગુણવત્તા cutout we already use for બેકગ્રાઉન્ડ રિમૂવલ), then applies a Gaussian blur kernel only to the non-subject પિક્સેલ. The intensity slider scales the blur kernel radius from 0 (no blur) to 100 (maximum dissolve). The edge-falloff treatment — નરમ transition between sharp subject and blurred બેકગ્રાઉન્ડ — eliminates the obvious cutout-on-cutout look that gives away naive fake-portrait-blur attempts. Distinct from our /blur-બેકગ્રાઉન્ડ/ ટૂલ which is the 'apply blur after બેકગ્રાઉન્ડ રિમૂવલ' workflow; this ટૂલ is the 'add portrait-style blur to any ફોટો without removing the બેકગ્રાઉન્ડ' workflow.

Why a portrait-blur ટૂલ beats opening Photoshop or paying for a Lightroom plugin

The competitive landscape for portrait-style બેકગ્રાઉન્ડ blur is uneven and somewhat absurd given how common the use case is. Photoshop ($22.99/mo Photography plan) does it via Camera Raw + masking, but the workflow takes 10-15 મિનિટ per ફોટો and requires moderate Photoshop fluency. Lightroom plugins like Topaz Mask AI ($79.99 perpetual) or Luminar Neo's Portrait Bokeh AI ($99 perpetual) automate it but require a desktop install and a paid license. iPhone and પિક્સેલ Portrait Mode કામ natively but only for ફોટા shot ON a supported device IN portrait mode at capture time — they don't મદદ for older ફોટા, imported ફોટા, non-supported devices, or ફોટા that lost depth metadata in transit (sharing via Messages compresses metadata; AirDropping with છબી-ગુણવત્તા reduction strips it; uploading to most websites also strips it). This એડિટર delivers the same portrait-blur look at $0 with no install, no license, no device requirements, no metadata dependency — કામ કરે છે on any ફોટો, any device, any browser. The license documented at /commercial-use-બેકગ્રાઉન્ડ-remover/ permits use of the પરિણામ on commercial photography, paid editorial, બ્રાન્ડ creative, and any other revenue-generating context.